Triple

T14299484
Position Surface form Disambiguated ID Type / Status
Subject Danapur subdivision E354523 entity
Predicate hasUrbanArea P316 FINISHED
Object Danapur Cantonment E354526 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Danapur Cantonment | Statement: [Danapur subdivision, hasUrbanArea, Danapur Cantonment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danapur Cantonment
Context triple: [Danapur subdivision, hasUrbanArea, Danapur Cantonment]
  • A. Danapur Cantonment chosen
    Danapur Cantonment is a major Indian Army cantonment town located near Patna in the state of Bihar, serving as an important military and administrative center.
  • B. Chaklala Cantonment
    Chaklala Cantonment is a major Pakistani military garrison area located in the city of Rawalpindi, adjacent to Islamabad.
  • C. Kohat Cantonment
    Kohat Cantonment is a major military garrison area in Kohat, Pakistan, housing army facilities and associated residential and administrative infrastructure.
  • D. Umballa Cantonment
    Umballa Cantonment was a major British Indian military station and garrison town located at Ambala in present-day Haryana, India.
  • E. Mangla Cantonment
    Mangla Cantonment is a military garrison town in Pakistan that supports operations and personnel associated with the nearby Mangla Dam and its strategic installations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717e246c819083e67ac2b3b77881 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5504dc6c8190a4d8a5985632901d completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:11 a.m.